Senior Applied Scientist, AWS Marketplace Science

Amazon Web Services (AWS); Austin (TX); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

RSUs

Job summary

Amazon Web Services, Inc. is seeking an Applied Scientist for the AWS Marketplace Science team in Austin, TX. The role focuses on large-scale information retrieval, generative AI, and agentic systems that influence purchasing decisions within the AWS cloud ecosystem.

The candidate should translate complex research into practical, high-impact solutions, mentor others, and advance innovation. The position offers a culture of collaboration and opportunities to shape how businesses discover software

Qualifications

• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• 3+ years of building machine learning models or developing algorithms for business application experience

Responsibilities

• Lead the research, design, and development of advanced AI/ML systems for information retrieval and agentic systems
• Identify and evaluate emerging scientific techniques and technologies, translating research into practical, scalable solutions
• Drive evaluation and hypothesis testing to continuously improve performance and relevance of search and recommendation systems
• Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value
• Mentor Scientists and influence scientific approach across the organization

Skills

Java

C++

Python

Education

PhD or Master’s degree

Job description

Description

The AWS Marketplace Science team seeks a talented Applied Scientist. AWS Marketplace is one of the world's largest B2B software and service discovery platforms, generating rich multi-modal signals that create uniquely challenging problems at the intersection of large-scale information retrieval, generative AI, and agentic systems. You'll operate at the frontier of applied science where your models directly shape purchasing decisions for the world's largest cloud ecosystem.

The ideal candidate excels in translating complex scientific research into practical, high-impact solutions, demonstrating both technical excellence and a deep understanding of customer needs. They should bring proven depth in numerous domains across information retrieval, recommendations, and agentic systems while remaining committed to mentoring others and fostering a culture of innovation and collaboration. The position offers a unique opportunity to influence how businesses worldwide discover and adopt software solutions.

Key job responsibilities

• Lead the research, design, and development of advanced AI/ML systems for information retrieval and agentic systems
• Identify and evaluate emerging scientific techniques and technologies, translating research into practical, scalable solutions
• Drive evaluation and hypothesis testing to continuously improve performance and relevance of search and recommendation systems
• Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value
• Mentor Scientists and influence scientific approach across the organization

About The Team

Mentorship and Career Growth

We invest in your growth as a scientist. You'll collaborate closely with a community of applied scientists and research engineers tackling problems across search, recommendations, and generative AI. We support conference attendance and publication at top venues (NeurIPS, ICML, KDD, SIGIR), provide mentorship from senior scientists, and encourage the open exchange of ideas through internal science reading groups and seminars. Whether you want to deepen your technical expertise or grow into science leadership, we'll help you build a career defined by scientific impact.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Basic Qualifications

• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• 3+ years of building machine learning models or developing algorithms for business application experience

Preferred Qualifications

• Experience with theory and practice of information retrieval, data science, machine learning and data mining

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants

Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Diego - 167,100.00 - 226,100.00 USD annually

USA, NY, New York - 183,800.00 - 248,700.00 USD annually

USA, TX, Austin - 167,100.00 - 226,100.00 USD annually

USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Company

Amazon Web Services, Inc.

Job ID: A10455009